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We are seeking a skilled Staff Software Engineer, Data Scientist to lead data science projects, develop machine learning models, and perform in-depth data analysis.

This role involves building and deploying models for applications like demand forecasting and route optimization, conducting data wrangling, and applying statistical methods to derive insights.

Collaboration with cross-functional teams and continuous learning to stay updated with the latest trends in data science are essential for success in this role.

Excellent communication skills are required to present complex data insights to non-technical stakeholders and work effectively in a collaborative team environment.

The ideal candidate will have advanced proficiency in Python, strong SQL skills, experience with machine learning frameworks, and a solid background in statistical analysis and data-driven decision-making

Responsibilities

Lead Data Science Projects:
Lead the design, development, and implementation of machine learning models and advanced analytics solutions to solve complex business problems.

Data Analysis and Visualization:
Perform in-depth data analysis using statistical techniques and create insightful visualizations to communicate findings to stakeholders.

Schedule Optimization:
Build, test, and deploy machine learning models for various applications, such as demand forecasting, route optimization, and predictive maintenance.

Data Manipulation and Cleaning:
Conduct data wrangling and preprocessing to ensure data quality and integrity, using tools like Pandas and NumPy.

Statistical Analysis:
Apply statistical methods, including hypothesis testing and inferential statistics, to derive actionable insights from data.

Collaboration and Communication:
Work closely with cross-functional teams, including engineering, operations, and business units, to understand their needs and deliver data-driven solutions.
Present complex data insights in a clear and concise manner to non-technical stakeholders.

Continuous Learning:
Stay updated with the latest trends and technologies in data science and actively contribute to a culture of continuous improvement and innovation.



Required Qualifications

Production Python Expertise:
Advanced proficiency in Python

Data Analysis Expertise:
Deep understanding of data analysis techniques
Ability to derive actionable insights from large data sets

Machine Learning & Statistics Expertise:
Substantial knowledge in machine learning algorithms
Statistical methods to develop predictive models and analytics tools

Job Category

Product Development

Compensation Information:

The compensation offered to a candidate may be influenced by a variety of factors, including the candidate’s relevant experience; education, including relevant degrees or certifications; work location; market data/ranges; internal equity; internal salary ranges; etc.

Compensation ranges for the position are below:

Pay Type:

Salaried

Minimum Pay Range:

Maximum Pay Range:

The position may also be eligible to receive an annual bonus, commission, and/or long-term incentive plan based on the level and/or type.

Benefits Information:

For all Full-time positions only: Ryder offers comprehensive health and welfare benefits, to include medical, prescription, dental, vision, life insurance and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax-advantaged 401(k) retirement savings plan.

Ryder is proud to be an Equal Opportunity Employer and Drug Free workplace.

All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability.

Security Notice for Applicants:

Ryder will only communicate with an applicant directly from a [@ryder.com] email address and will never conduct an interview online through a chat type forum, messaging app (such as WhatsApp or Telegram), or via an online questionnaire.  During an interview, Ryder will never ask for any form of payment or banking details and will never solicit personal information outside of the formal submitted application through www.ryder.com/careers.

Should you have any questions regarding the application process or to verify the legitimacy of an interview or Ryder representative, please contact Ryder at [email protected] or 800-793-3754.

Current Employees:

If you are a current employee at Ryder (not a Contractor or temporary employee through a staffing agency), please click here to log in to Workday to apply using the internal application process.

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